Add database level pagination and filtering for efficiency

This commit is contained in:
George Wu
2026-02-21 13:17:33 -08:00
parent 0f5b54eef5
commit 46a65c322c
4 changed files with 402 additions and 4 deletions
@@ -14,6 +14,7 @@ use sqlx::PgPool;
use std::collections::HashMap;
use std::sync::Arc;
use crate::application::dtos::search_dto::SearchCriteriaDto;
use crate::application::ports::dedup_ports::DedupPort;
use crate::application::ports::storage_ports::FileReadPort;
use crate::common::errors::DomainError;
@@ -375,4 +376,248 @@ impl FileReadPort for FileBlobReadRepository {
None => Ok(None),
}
}
/// Search files with filtering and pagination at database level.
/// This is much more efficient than loading all files and filtering in memory.
///
/// Note: This implements a simplified version focusing on the key optimizations:
/// - LIMIT/OFFSET at database level (not loading all rows)
/// - Basic name filtering
/// - Sorting at database level
///
/// For full criteria support (file types, date ranges, size ranges),
/// the search service will continue to use in-memory filtering.
async fn search_files_paginated(
&self,
folder_id: Option<&str>,
criteria: &SearchCriteriaDto,
user_id: &str,
) -> Result<(Vec<File>, usize), DomainError> {
let offset = criteria.offset;
let limit = criteria.limit;
// Determine sort order
let (order_column, order_dir) = match criteria.sort_by.as_str() {
"name" => ("fi.name", "ASC"),
"name_desc" => ("fi.name", "DESC"),
"date" => ("fi.updated_at", "ASC"),
"date_desc" => ("fi.updated_at", "DESC"),
"size" => ("fi.size", "ASC"),
"size_desc" => ("fi.size", "DESC"),
_ => ("fi.name", "ASC"),
};
// Build query based on whether we have a folder_id and name filter
let (rows, total_count) = match (folder_id, &criteria.name_contains) {
(Some(fid), Some(name)) if !name.is_empty() => {
// Folder scope + name search
let name_pattern = format!("%{}%", name.to_lowercase());
// Count query
let count: i64 = sqlx::query_scalar(
"SELECT COUNT(*) FROM storage.files fi
WHERE fi.user_id = $1::uuid AND fi.folder_id = $2::uuid
AND fi.is_trashed = false AND LOWER(fi.name) LIKE $3",
)
.bind(user_id)
.bind(fid)
.bind(&name_pattern)
.fetch_one(self.pool.as_ref())
.await
.map_err(|e| DomainError::internal_error("FileBlobRead", format!("count: {e}")))?;
// Data query with LIMIT/OFFSET
let rows: Vec<(
String,
String,
Option<String>,
Option<String>,
i64,
String,
i64,
i64,
Option<String>,
)> = sqlx::query_as(&format!(
"SELECT fi.id::text, fi.name, fi.folder_id::text, fo.path,
fi.size, fi.mime_type,
EXTRACT(EPOCH FROM fi.created_at)::bigint,
EXTRACT(EPOCH FROM fi.updated_at)::bigint,
fi.user_id::text
FROM storage.files fi
LEFT JOIN storage.folders fo ON fo.id = fi.folder_id
WHERE fi.user_id = $1::uuid AND fi.folder_id = $2::uuid
AND fi.is_trashed = false AND LOWER(fi.name) LIKE $3
ORDER BY {} {}
LIMIT {} OFFSET {}",
order_column, order_dir, limit, offset
))
.bind(user_id)
.bind(fid)
.bind(&name_pattern)
.fetch_all(self.pool.as_ref())
.await
.map_err(|e| DomainError::internal_error("FileBlobRead", format!("search: {e}")))?;
(rows, count as usize)
}
(Some(fid), None) | (Some(fid), Some(_)) => {
// Folder scope only (no name filter)
let count: i64 = sqlx::query_scalar(
"SELECT COUNT(*) FROM storage.files fi
WHERE fi.user_id = $1::uuid AND fi.folder_id = $2::uuid
AND fi.is_trashed = false",
)
.bind(user_id)
.bind(fid)
.fetch_one(self.pool.as_ref())
.await
.map_err(|e| DomainError::internal_error("FileBlobRead", format!("count: {e}")))?;
let rows: Vec<(
String,
String,
Option<String>,
Option<String>,
i64,
String,
i64,
i64,
Option<String>,
)> = sqlx::query_as(&format!(
"SELECT fi.id::text, fi.name, fi.folder_id::text, fo.path,
fi.size, fi.mime_type,
EXTRACT(EPOCH FROM fi.created_at)::bigint,
EXTRACT(EPOCH FROM fi.updated_at)::bigint,
fi.user_id::text
FROM storage.files fi
LEFT JOIN storage.folders fo ON fo.id = fi.folder_id
WHERE fi.user_id = $1::uuid AND fi.folder_id = $2::uuid
AND fi.is_trashed = false
ORDER BY {} {}
LIMIT {} OFFSET {}",
order_column, order_dir, limit, offset
))
.bind(user_id)
.bind(fid)
.fetch_all(self.pool.as_ref())
.await
.map_err(|e| DomainError::internal_error("FileBlobRead", format!("search: {e}")))?;
(rows, count as usize)
}
(None, Some(name)) if !name.is_empty() => {
// Global search with name filter
let name_pattern = format!("%{}%", name.to_lowercase());
let count: i64 = sqlx::query_scalar(
"SELECT COUNT(*) FROM storage.files fi
WHERE fi.user_id = $1::uuid AND fi.is_trashed = false
AND LOWER(fi.name) LIKE $2",
)
.bind(user_id)
.bind(&name_pattern)
.fetch_one(self.pool.as_ref())
.await
.map_err(|e| DomainError::internal_error("FileBlobRead", format!("count: {e}")))?;
let rows: Vec<(
String,
String,
Option<String>,
Option<String>,
i64,
String,
i64,
i64,
Option<String>,
)> = sqlx::query_as(&format!(
"SELECT fi.id::text, fi.name, fi.folder_id::text, fo.path,
fi.size, fi.mime_type,
EXTRACT(EPOCH FROM fi.created_at)::bigint,
EXTRACT(EPOCH FROM fi.updated_at)::bigint,
fi.user_id::text
FROM storage.files fi
LEFT JOIN storage.folders fo ON fo.id = fi.folder_id
WHERE fi.user_id = $1::uuid AND fi.is_trashed = false
AND LOWER(fi.name) LIKE $2
ORDER BY {} {}
LIMIT {} OFFSET {}",
order_column, order_dir, limit, offset
))
.bind(user_id)
.bind(&name_pattern)
.fetch_all(self.pool.as_ref())
.await
.map_err(|e| DomainError::internal_error("FileBlobRead", format!("search: {e}")))?;
(rows, count as usize)
}
(None, _) => {
// No folder scope, no name filter - get all files for user
let count: i64 = sqlx::query_scalar(
"SELECT COUNT(*) FROM storage.files fi
WHERE fi.user_id = $1::uuid AND fi.is_trashed = false",
)
.bind(user_id)
.fetch_one(self.pool.as_ref())
.await
.map_err(|e| DomainError::internal_error("FileBlobRead", format!("count: {e}")))?;
let rows: Vec<(
String,
String,
Option<String>,
Option<String>,
i64,
String,
i64,
i64,
Option<String>,
)> = sqlx::query_as(&format!(
"SELECT fi.id::text, fi.name, fi.folder_id::text, fo.path,
fi.size, fi.mime_type,
EXTRACT(EPOCH FROM fi.created_at)::bigint,
EXTRACT(EPOCH FROM fi.updated_at)::bigint,
fi.user_id::text
FROM storage.files fi
LEFT JOIN storage.folders fo ON fo.id = fi.folder_id
WHERE fi.user_id = $1::uuid AND fi.is_trashed = false
ORDER BY {} {}
LIMIT {} OFFSET {}",
order_column, order_dir, limit, offset
))
.bind(user_id)
.fetch_all(self.pool.as_ref())
.await
.map_err(|e| DomainError::internal_error("FileBlobRead", format!("search: {e}")))?;
(rows, count as usize)
}
};
let files = rows
.into_iter()
.map(|(id, name, fid, fpath, size, mime, ca, ma, uid)| {
Self::row_to_file(id, name, fid, fpath, size, mime, ca, ma, uid)
})
.collect::<Result<Vec<_>, _>>()
.map_err(|e| DomainError::internal_error("FileBlobRead", format!("mapping: {e}")))?;
Ok((files, total_count))
}
/// Count files matching the search criteria (without loading them).
async fn count_files(
&self,
folder_id: Option<&str>,
criteria: &SearchCriteriaDto,
user_id: &str,
) -> Result<usize, DomainError> {
// Simplified count - delegates to search_files_paginated for actual counting
// In a full implementation, this would be a separate optimized query
let (_, count) = self
.search_files_paginated(folder_id, criteria, user_id)
.await?;
Ok(count)
}
}